from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting("sklearnex", config="config.yml")
reporting.run()
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=brute.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.013 | 0.0 | NaN | NaN | 6.393 | 0.0 | -1 | 1 | NaN | NaN | 0.065 | 0.000 | 0.193 | 0.193 | See | See |
| 5 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.647 | 0.0 | -1 | 5 | NaN | 1.000 | 0.010 | 0.000 | 1.212 | 1.212 | See | See |
| 10 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.487 | 0.0 | 1 | 100 | NaN | 0.875 | 0.217 | 0.003 | 0.057 | 0.057 | See | See |
| 15 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.749 | 0.0 | -1 | 100 | NaN | NaN | 0.050 | 0.000 | 0.239 | 0.239 | See | See |
| 20 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.693 | 0.0 | 1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 15.802 | 16.075 | See | See |
| 25 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.615 | 0.0 | 1 | 1 | NaN | 0.975 | 0.062 | 0.001 | 0.194 | 0.194 | See | See |
| 30 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | NaN | 0.328 | 0.0 | -1 | 1 | NaN | NaN | 0.009 | 0.000 | 0.534 | 0.534 | See | See |
| 35 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | NaN | 0.328 | 0.0 | -1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 6.928 | 7.127 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.921 | 0.009 | NaN | NaN | 0.000 | 0.017 | -1 | 1 | 0.663 | 0.687 | 0.176 | 0.003 | 95.878 | 95.891 | See | See |
| 2 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.034 | 0.029 | NaN | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 1.000 | 0.009 | 0.000 | 214.515 | 214.571 | See | See |
| 3 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.313 | 0.010 | NaN | NaN | 0.000 | 0.313 | -1 | 1 | 1.000 | NaN | 0.049 | 0.000 | 6.389 | 6.389 | See | See |
| 4 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.025 | 0.003 | NaN | NaN | 0.000 | 0.025 | -1 | 1 | 1.000 | 0.742 | 0.180 | 0.004 | 0.137 | 0.137 | See | See |
| 6 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.837 | 0.026 | NaN | NaN | 0.000 | 0.017 | -1 | 5 | 0.757 | NaN | 0.049 | 0.000 | 342.864 | 342.864 | See | See |
| 7 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 3.096 | 0.075 | NaN | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.875 | 0.216 | 0.002 | 14.333 | 14.333 | See | See |
| 8 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.316 | 0.010 | NaN | NaN | 0.000 | 0.316 | -1 | 5 | 1.000 | 0.000 | 0.010 | 0.000 | 32.269 | 32.277 | See | See |
| 9 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.026 | 0.002 | NaN | NaN | 0.000 | 0.026 | -1 | 5 | 1.000 | NaN | 0.049 | 0.000 | 0.525 | 0.525 | See | See |
| 11 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.420 | 0.030 | NaN | NaN | 0.000 | 0.017 | 1 | 100 | 0.882 | 0.000 | 0.010 | 0.000 | 1771.574 | 1771.831 | See | See |
| 12 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.072 | 0.008 | NaN | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | NaN | 0.049 | 0.000 | 42.471 | 42.471 | See | See |
| 13 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.307 | 0.006 | NaN | NaN | 0.000 | 0.307 | 1 | 100 | 1.000 | 0.742 | 0.183 | 0.009 | 1.678 | 1.680 | See | See |
| 14 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.023 | 0.003 | NaN | NaN | 0.000 | 0.023 | 1 | 100 | 1.000 | 1.000 | 0.010 | 0.000 | 2.367 | 2.367 | See | See |
| 16 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.848 | 0.064 | NaN | NaN | 0.000 | 0.017 | -1 | 100 | 0.882 | 0.687 | 0.179 | 0.001 | 93.930 | 93.932 | See | See |
| 17 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 3.109 | 0.085 | NaN | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 1.000 | 0.010 | 0.000 | 306.110 | 306.172 | See | See |
| 18 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.309 | 0.006 | NaN | NaN | 0.000 | 0.309 | -1 | 100 | 1.000 | NaN | 0.009 | 0.000 | 33.121 | 33.121 | See | See |
| 19 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.027 | 0.002 | NaN | NaN | 0.000 | 0.027 | -1 | 100 | 1.000 | 0.967 | 0.027 | 0.000 | 1.006 | 1.006 | See | See |
| 21 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.102 | 0.157 | NaN | NaN | 0.000 | 0.017 | 1 | 5 | 0.757 | NaN | 0.009 | 0.000 | 1898.371 | 1898.371 | See | See |
| 22 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.069 | 0.009 | NaN | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.974 | 0.029 | 0.001 | 72.205 | 72.283 | See | See |
| 23 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.308 | 0.005 | NaN | NaN | 0.000 | 0.308 | 1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 414.529 | 422.870 | See | See |
| 24 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.022 | 0.000 | NaN | NaN | 0.000 | 0.022 | 1 | 5 | 1.000 | NaN | 0.009 | 0.000 | 2.465 | 2.465 | See | See |
| 26 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.388 | 0.176 | NaN | NaN | 0.000 | 0.017 | 1 | 1 | 0.663 | 1.000 | 0.001 | 0.000 | 21923.144 | 22443.276 | See | See |
| 27 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.193 | 0.005 | NaN | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | NaN | 0.009 | 0.000 | 129.278 | 129.278 | See | See |
| 28 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.310 | 0.004 | NaN | NaN | 0.000 | 0.310 | 1 | 1 | 1.000 | 0.975 | 0.062 | 0.001 | 4.976 | 4.976 | See | See |
| 29 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.021 | 0.000 | NaN | NaN | 0.000 | 0.021 | 1 | 1 | 1.000 | 1.000 | 0.001 | 0.000 | 24.677 | 25.167 | See | See |
| 31 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 2 | 3.737 | 0.018 | NaN | NaN | 0.000 | 0.004 | -1 | 1 | 0.896 | 0.974 | 0.028 | 0.000 | 133.949 | 133.954 | See | See |
| 32 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 2 | 1.920 | 0.036 | NaN | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 1.000 | 0.001 | 0.000 | 2679.169 | 2772.366 | See | See |
| 33 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 2 | 0.241 | 0.004 | NaN | NaN | 0.000 | 0.241 | -1 | 1 | 1.000 | NaN | 0.009 | 0.000 | 26.468 | 26.468 | See | See |
| 34 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 2 | 0.009 | 0.002 | NaN | NaN | 0.000 | 0.009 | -1 | 1 | 1.000 | 0.967 | 0.027 | 0.000 | 0.336 | 0.336 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.928 | 0.0 | NaN | NaN | 0.020 | 0.0 | -1 | 1 | NaN | NaN | 0.878 | 0.000 | 4.473 | 4.473 | See | See |
| 5 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.521 | 0.0 | NaN | NaN | 0.018 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 9415.486 | 10356.585 | See | See |
| 10 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.575 | 0.0 | NaN | NaN | 0.017 | 0.0 | 1 | 100 | NaN | 0.940 | 0.689 | 0.011 | 6.636 | 6.637 | See | See |
| 15 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.700 | 0.0 | NaN | NaN | 0.017 | 0.0 | -1 | 100 | NaN | NaN | 0.804 | 0.000 | 5.842 | 5.842 | See | See |
| 20 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.441 | 0.0 | NaN | NaN | 0.018 | 0.0 | 1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 38597.599 | 50500.440 | See | See |
| 25 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 4.465 | 0.0 | NaN | NaN | 0.018 | 0.0 | 1 | 1 | NaN | 0.917 | 0.005 | 0.001 | 921.148 | 930.083 | See | See |
| 30 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.002 | 0.0 | NaN | NaN | 0.007 | 0.0 | -1 | 1 | NaN | NaN | 0.004 | 0.000 | 0.597 | 0.597 | See | See |
| 35 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.001 | 0.0 | NaN | NaN | 0.024 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 6.107 | 8.129 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 120.914 | 0.000 | NaN | NaN | 0.000 | 0.121 | -1 | 1 | 0.929 | 0.910 | 0.130 | 0.002 | 929.849 | 929.941 | See | See |
| 2 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.536 | 0.005 | NaN | NaN | 0.000 | 0.001 | -1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1756.076 | 1965.984 | See | See |
| 3 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.627 | 0.185 | NaN | NaN | 0.000 | 2.627 | -1 | 1 | 1.000 | NaN | 0.786 | 0.000 | 3.342 | 3.342 | See | See |
| 4 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | NaN | 0.000 | 0.003 | -1 | 1 | 1.000 | 0.941 | 0.236 | 0.005 | 0.012 | 0.012 | See | See |
| 6 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 122.302 | 0.000 | NaN | NaN | 0.000 | 0.122 | -1 | 5 | 0.946 | NaN | 0.816 | 0.000 | 149.824 | 149.824 | See | See |
| 7 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.994 | 0.010 | NaN | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.940 | 0.711 | 0.009 | 1.398 | 1.398 | See | See |
| 8 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.575 | 0.079 | NaN | NaN | 0.000 | 2.575 | -1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 3087.191 | 3373.053 | See | See |
| 9 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | NaN | NaN | 0.000 | 0.004 | -1 | 5 | 1.000 | NaN | 0.775 | 0.000 | 0.006 | 0.006 | See | See |
| 11 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 132.262 | 0.000 | NaN | NaN | 0.000 | 0.132 | 1 | 100 | 0.951 | 1.000 | 0.001 | 0.000 | 150897.657 | 162488.076 | See | See |
| 12 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 5.847 | 0.017 | NaN | NaN | 0.000 | 0.006 | 1 | 100 | 0.951 | NaN | 0.779 | 0.000 | 7.502 | 7.502 | See | See |
| 13 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.583 | 0.064 | NaN | NaN | 0.000 | 2.583 | 1 | 100 | 1.000 | 0.941 | 0.234 | 0.003 | 11.050 | 11.051 | See | See |
| 14 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.005 | 0.000 | NaN | NaN | 0.000 | 0.005 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 11.338 | 12.408 | See | See |
| 16 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 127.521 | 0.000 | NaN | NaN | 0.000 | 0.128 | -1 | 100 | 0.951 | 0.910 | 0.130 | 0.001 | 980.276 | 980.340 | See | See |
| 17 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 3.415 | 0.032 | NaN | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 1.000 | 0.000 | 0.000 | 11230.313 | 12620.300 | See | See |
| 18 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.596 | 0.090 | NaN | NaN | 0.000 | 2.596 | -1 | 100 | 1.000 | NaN | 0.001 | 0.000 | 2527.206 | 2527.206 | See | See |
| 19 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.006 | 0.001 | NaN | NaN | 0.000 | 0.006 | -1 | 100 | 1.000 | 0.879 | 0.001 | 0.000 | 12.790 | 13.242 | See | See |
| 21 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 128.932 | 0.000 | NaN | NaN | 0.000 | 0.129 | 1 | 5 | 0.946 | NaN | 0.003 | 0.000 | 39238.305 | 39238.305 | See | See |
| 22 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 1.764 | 0.013 | NaN | NaN | 0.000 | 0.002 | 1 | 5 | 0.946 | 0.905 | 0.001 | 0.000 | 2250.146 | 2292.502 | See | See |
| 23 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.581 | 0.083 | NaN | NaN | 0.000 | 2.581 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 22142.964 | 29122.986 | See | See |
| 24 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | NaN | NaN | 0.000 | 0.002 | 1 | 5 | 1.000 | NaN | 0.005 | 0.000 | 0.361 | 0.361 | See | See |
| 26 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 132.215 | 0.000 | NaN | NaN | 0.000 | 0.132 | 1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1070025.354 | 1375478.378 | See | See |
| 27 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.923 | 0.010 | NaN | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | NaN | 0.004 | 0.000 | 241.826 | 241.826 | See | See |
| 28 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.591 | 0.072 | NaN | NaN | 0.000 | 2.591 | 1 | 1 | 1.000 | 0.917 | 0.005 | 0.000 | 557.568 | 558.120 | See | See |
| 29 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 7.909 | 10.836 | See | See |
| 31 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1000 | 2 | 0.039 | 0.000 | NaN | NaN | 0.000 | 0.000 | -1 | 1 | 0.891 | 0.905 | 0.001 | 0.000 | 53.711 | 55.441 | See | See |
| 32 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1000 | 2 | 0.023 | 0.001 | NaN | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 1.000 | 0.000 | 0.000 | 194.517 | 258.138 | See | See |
| 33 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1 | 2 | 0.005 | 0.000 | NaN | NaN | 0.000 | 0.005 | -1 | 1 | 1.000 | NaN | 0.004 | 0.000 | 1.272 | 1.272 | See | See |
| 34 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.879 | 0.001 | 0.000 | 4.836 | 5.111 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.723 | 0.0 | 30 | NaN | 0.022 | 0.0 | random | NaN | 30 | NaN | 0.437 | 0.0 | 1.656 | 1.656 | See | See |
| 3 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.602 | 0.0 | 30 | NaN | 0.027 | 0.0 | k-means++ | NaN | 30 | NaN | 0.463 | 0.0 | 1.299 | 1.299 | See | See |
| 6 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 6.431 | 0.0 | 30 | NaN | 0.124 | 0.0 | random | NaN | 30 | NaN | 2.935 | 0.0 | 2.191 | 2.191 | See | See |
| 9 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 6.229 | 0.0 | 30 | NaN | 0.128 | 0.0 | k-means++ | NaN | 30 | NaN | 3.070 | 0.0 | 2.029 | 2.029 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | NaN | 0.011 | 0.000 | random | 0.000 | 30 | 0.001 | 0.0 | 0.0 | 8.052 | 9.345 | See | See |
| 2 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | NaN | 0.000 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.589 | 14.810 | See | See |
| 4 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | NaN | 0.011 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 8.199 | 9.877 | See | See |
| 5 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | NaN | 0.000 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.848 | 14.118 | See | See |
| 7 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | NaN | 0.462 | 0.000 | random | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.988 | 6.690 | See | See |
| 8 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | NaN | 0.001 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 9.597 | 11.369 | See | See |
| 10 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | NaN | 0.471 | 0.000 | k-means++ | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.756 | 6.582 | See | See |
| 11 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | NaN | 0.001 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 8.630 | 10.569 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.077 | 0.0 | 20 | NaN | 0.002 | 0.0 | random | NaN | 20 | NaN | 0.049 | 0.0 | 1.586 | 1.586 | See | See |
| 3 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.229 | 0.0 | 20 | NaN | 0.001 | 0.0 | k-means++ | NaN | 20 | NaN | 0.083 | 0.0 | 2.757 | 2.757 | See | See |
| 6 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.217 | 0.0 | 20 | NaN | 0.037 | 0.0 | random | NaN | 20 | NaN | 0.135 | 0.0 | 1.612 | 1.612 | See | See |
| 9 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.587 | 0.0 | 20 | NaN | 0.014 | 0.0 | k-means++ | NaN | 20 | NaN | 0.337 | 0.0 | 1.742 | 1.742 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.009 | 0.015 | 20 | NaN | 0.002 | 0.000 | random | 0.002 | 20 | 0.001 | 0.001 | 0.001 | 11.745 | 15.367 | See | See |
| 2 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.021 | 0.041 | 20 | NaN | 0.000 | 0.021 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 145.434 | 182.751 | See | See |
| 4 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.012 | 0.019 | 20 | NaN | 0.001 | 0.000 | k-means++ | 0.002 | 20 | 0.001 | 0.001 | 0.000 | 21.832 | 22.371 | See | See |
| 5 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.002 | 0.001 | 20 | NaN | 0.000 | 0.002 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 11.710 | 14.751 | See | See |
| 7 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.001 | 20 | NaN | 0.249 | 0.000 | random | 0.321 | 20 | 0.311 | 0.001 | 0.000 | 2.648 | 2.758 | See | See |
| 8 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.001 | 0.000 | 20 | NaN | 0.001 | 0.001 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 7.594 | 8.872 | See | See |
| 10 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.000 | 20 | NaN | 0.299 | 0.000 | k-means++ | 0.381 | 20 | 0.286 | 0.001 | 0.000 | 2.402 | 2.428 | See | See |
| 11 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | NaN | 0.001 | 0.002 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 7.952 | 9.168 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | False | fit | 1000000 | 1000000 | 100 | 13.042 | 0.0 | [20] | NaN | 0.061 | 0.000 | NaN | NaN | NaN | NaN | NaN | 2.189 | 0.0 | 5.957 | 5.957 | See | See |
| 3 | LogisticRegression | False | fit | 1000 | 1000 | 10000 | 3.198 | 0.0 | [26] | NaN | 0.025 | 0.003 | NaN | NaN | NaN | NaN | NaN | 1.056 | 0.0 | 3.028 | 3.028 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | NaN | 2.595 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.000 | 0.0 | 0.827 | 0.909 | See | See |
| 2 | LogisticRegression | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | NaN | 0.010 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.0 | 0.430 | 0.512 | See | See |
| 4 | LogisticRegression | False | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | NaN | 4.516 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.003 | 0.0 | 0.526 | 0.529 | See | See |
| 5 | LogisticRegression | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | NaN | 0.736 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.0 | 0.150 | 0.156 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | False | fit | 1000 | 1000 | 10000 | 0.196 | 0.0 | NaN | NaN | 0.409 | 0.0 | NaN | NaN | NaN | 0.191 | 0.0 | 1.024 | 1.024 | See | See |
| 3 | Ridge | False | fit | 1000000 | 1000000 | 100 | 1.550 | 0.0 | NaN | NaN | 0.516 | 0.0 | NaN | NaN | NaN | 1.340 | 0.0 | 1.156 | 1.156 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | False | predict | 1000 | 1000 | 10000 | 0.013 | 0.0 | NaN | NaN | 6.361 | 0.0 | NaN | NaN | 0.083 | 0.021 | 0.0 | 0.612 | 0.612 | See | See |
| 2 | Ridge | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | NaN | NaN | 0.991 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.663 | 0.776 | See | See |
| 4 | Ridge | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | NaN | NaN | 5.088 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.0 | 0.588 | 0.676 | See | See |
| 5 | Ridge | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | NaN | NaN | 0.013 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.586 | 0.719 | See | See |